Application Support Engineer

Fintal Partners; Chicago (IL); On-site; USD 120,000 - 250,000; Full time

Job summary

A global technology-driven trading firm is seeking an experienced Application Support Engineer to maintain and support core data platforms integral to trading and analytics. This role demands a hands-on approach, ensuring system health and performance of high-volume data pipelines while collaborating with developers. Applicants should have a strong background in production support for complex data systems and excellent debugging skills. Full-time employment with a focus on operational excellence within a fast-paced environment.

Qualifications

• Experience supporting market data or complex data platforms.
• Strong background in production support for performance-sensitive systems.
• Ability to read and reason about object-oriented code.

Responsibilities

• Operate and support high-throughput data processing systems.
• Monitor production pipelines to ensure data completeness and correctness.
• Investigate and resolve production incidents.
• Collaborate with software engineers to diagnose defects.

Skills

Data platforms support

Production support

Debugging skills

Communication skills

Analytical skills

Job description

This range is provided by Fintal Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $250,000.00/yr

This organization is a global, technology-driven trading firm operating across major financial markets worldwide. The firm builds and operates its own proprietary systems and deploys capital directly, which places a strong emphasis on system reliability, data integrity, and operational excellence. Technology is treated as a core function rather than a support layer, with engineers owning systems end-to-end in production.

Role Overview

As an Application Support Engineer, you will be responsible for maintaining and supporting core data platforms that underpin trading, analytics, and regulatory workflows. The role sits between engineering teams and system users, focusing on the health, accuracy, and performance of high-volume data pipelines. This is a hands‑on production engineering role with real technical depth, not a ticket‑driven help desk position. You will work closely with developers and stakeholders to investigate issues, improve system robustness, and support the onboarding of new applications into production environments.

Responsibilities

• Operate and support high-throughput data processing systems that ingest, transform, and distribute market and transactional data
• Monitor production pipelines and alerting systems to ensure data completeness, correctness, and timeliness
• Investigate and resolve production incidents, including failed jobs, data inconsistencies, and performance degradation
• Analyze logs, datasets, and application behavior to identify root causes of issues
• Collaborate with software engineers to diagnose defects, recommend improvements, and validate fixes
• Respond to user inquiries related to data availability, analytics outputs, and reporting workflows
• Provide hands‑on L1 and L2 support while contributing to deeper technical investigations alongside engineering teams
• Assist with onboarding and operational readiness of new systems and data flows
• Participate in follow‑the‑sun operational coverage with distributed teams

Requirements

• Experience supporting market data, reference data, or similarly complex data platforms in a financial or trading environment
• Strong background in production or application support for performance‑sensitive systems
• Exposure to L1–L3 support responsibilities, including working directly with development teams
• Ability to read and reason about object‑oriented code in a production setting
• Comfort working in Linux‑based environments
• Strong debugging and analytical skills with an emphasis on root‑cause analysis
• Ability to communicate clearly with both technical and non‑technical stakeholders
• Proven ability to work independently and maintain composure during incidents

Seniority level

Mid‑Senior level

Employment type

Full‑time